Interim analyses in clinical trials: Classical vs. bayesian approaches | Zendy

Berry Donald A. | Zendy

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Interim analyses in clinical trials: Classical vs. bayesian approaches

Author(s) -

Berry Donald A.

Publication year - 1985

Publication title -

statistics in medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.996

H-Index - 183

eISSN - 1097-0258

pISSN - 0277-6715

DOI - 10.1002/sim.4780040412

Subject(s) - interim , bayesian probability , interim analysis , sampling (signal processing) , bayesian inference , inference , clinical trial , statistics , econometrics , sample size determination , computer science , mathematics , medicine , artificial intelligence , archaeology , filter (signal processing) , computer vision , history

This paper concerns interim analysis in clinical trials involving two treatments from the points of view of both classical and Bayesian inference. I criticize classical hypothesis testing in this setting and describe and recommend a Bayesian approach in which sampling stops when the probability that one treatment is the better exceeds a specified value. I consider application to normal sampling analysed in stages and evaluate the gain in average sample number as a function of the number of interim analyses.

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